System manufacturer System Product Name
Geekbench AI Score
2465
Single Precision Score
2465
Half Precision Score
1851
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | bet2600 |
| Upload Date | September 13 2024 01:40 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X570-E GAMING |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 5.08 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1763
327.8 IPS |
|
|
Image Classification (HP)
|
100% |
1720
319.8 IPS |
|
|
Image Classification (Q)
|
99% |
1280
238.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2687
43.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2691
43.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1287
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3443
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
3436
4.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
4549
5.33 IPS |
|
|
Object Detection (SP)
|
100% |
1888
149.8 IPS |
|
|
Object Detection (HP)
|
100% |
1887
149.7 IPS |
|
|
Object Detection (Q)
|
85% |
1558
125.4 IPS |
|
|
Face Detection (SP)
|
100% |
2904
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
2889
34.3 IPS |
|
|
Face Detection (Q)
|
97% |
2920
34.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2752
21.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2742
21.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2301
21.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3348
4.30 IPS |
|
|
Style Transfer (HP)
|
100% |
3348
4.30 IPS |
|
|
Style Transfer (Q)
|
98% |
6830
8.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1896
70.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1925
71.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1938
71.8 IPS |
|
|
Text Classification (SP)
|
100% |
1712
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1682
2.24 KIPS |
|
|
Text Classification (Q)
|
92% |
758
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3097
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3227
55.6 IPS |
|
|
Machine Translation (Q)
|
58% |
603
14.2 IPS |
